## OGR data source with driver: ESRI Shapefile
## Source: "/Users/Cheryl/Documents/GitHub/data visualization/Group_D_Nutrition/shp/cb_2013_us_state_20m.shp", layer: "cb_2013_us_state_20m"
## with 52 features
## It has 9 fields
## Integer64 fields read as doubles: ALAND AWATER
In this project, we aim to present a interactive display of obesity rates in adults across the different states in the U.S., and more pertinently, analyze how differences in the level of nutritional intake across the different states correlate with obesity rates. In addition, we also analyze the differences in the level of physical activities across the different states. Since it is widely known that one???s diet and physical exercises play a key role in affecting one???s weight and health, we believe that states with a widespread number of fast food outlets see greater occurrence of obesity as the presence of such unhealthy food options fuel adults living in these to adopt unhealthy diets, thereby neglecting their weight and health. In particular, our analysis consist of three major components:
From the graph, the total obesity rate increases from 27.4% to 30.1%. Moreover, the overall male obesity rate is higher than female.
People with higher degree tend to have lower obesity rate, and the obesity rate of people with college degree is the lowest.
This graph shows that middle-age groups from 35 to 64 tend to have the highest obesity rate, while the young adults with age from 18 to 24 have the lowest obesity rate.
This graph shows people with higher income tend to have lower obesity rate.
West Virginia has the highest obesity rate with the value 38.1%, while Colorado has the lowest with the value 22.6%
Vermont has the highest physical activity rate with the value 59.7%, while Purto Tico has the lowest with the value 19.6%
There are 676 fast food restaurants in California.
The most common fast food restaurants are McDonald’s, Burger King,and Taco Bell.
To understand the distribution of fastfood restaurants in the US, we visualized the random sample of 10,000 fast food restaurants from the Datafiniti dataset. The graph focus on the contiguous U.S. land and shows a disporportional dense distribution of fastfood restaurant in the East and West coast than Mid America, which is understandable as coastal area has higher population density. We are interested in looking for difference between distribution among top popular restaurants.
This plot shows McDonal’s is popular everywhere while Burger King is more popular in the north, and Taco Bell is more popular in the Mid America area with density higher in states like Illionois, Indiana, Ohio and Wisconsin.
We would like to examine the first year available (2011) data on the Obesity rate across the U.S.
The obesity rates was splited into under 25%, 25-30% and 30% up groups. In 2011, 9 states are in the green shade, meaning their obesity rate was under 25%.
However, in 2017, the situation has changed dramatically. Only one state left on the map has less than 25% obesity rate. The map is presented below.
Therefore We would like to examine the changes over the past period.
The grid shows the spread of obesity throughout the past 6 years. The red-shaded and blue-shaded states gradually increase and took over states with low obesity rate. In 2013, there are 6 green states left, in 2015, there is only 5. And the 2017 shows only colorado Stands as the only state with Obesity rate under 25% at 22.6%.
To further explore the relationship, we mapped the distribution of fastfood restaruant and State obesity level(2017)